Search Results - (( (stateeene OR stat) python code analysis ) OR ( studies python code analysis ))

Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial by Smith, Matthew J., Mansournia, Mohammad A., Maringe, Camille, Zivich, Paul N., Cole, Stephen R., Leyrat, Clémence, Belot, Aurélien, Rachet, Bernard, Luque‐Fernandez, Miguel A.

“…The main purpose of many medical studies is to estimate the effects of a treatment or exposure on an outcome…”
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Decoding the JAK-STAT Axis in Colorectal Cancer with AI-HOPE-JAK-STAT: A Conversational Artificial Intelligence Approach to Clinical–Genomic Integration by Yang, Ei-Wen, Waldrup, Brigette, Velazquez-Villarreal, Enrique

“…: AI-HOPE-JAK-STAT combines large language models (LLMs), a natural language-to-code engine, and harmonized public CRC datasets from cBioPortal…”
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Comparative Analysis of AI Models for Python Code Generation: A HumanEval Benchmark Study by Bayram, Ali, Menekse Dalveren, Gonca Gokce, Derawi, Mohammad

“…This study conducts a comprehensive comparative analysis of six contemporary artificial intelligence models for Python code generation using the HumanEval benchmark…”
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Python Data Analyst's Toolkit - Learn Python and Python-Based Libraries with Applications in Data Analysis and Statistics by Rajagopalan, Gayathri

“…Explore the fundamentals of data analysis, and statistics with case studies using Python…”
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Statistical Analyses and Reproducible Research by Gentleman, Robert, Temple Lang, Duncan

“…It is important, if not essential, to integrate the computations and code used in data analyses, methodological descriptions, simulations, and so on with the documents that describe and rely…”
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Pytim: A python package for the interfacial analysis of molecular simulations by Sega, Marcello, Hantal, György, Fábián, Balázs, Jedlovszky, Pál

“… The code implements several algorithms for the identification of instantaneous interfaces of arbitrary shape, and analysis tools written specifically for the study of interfacial properties, such as intrinsic profiles…”
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GraphPyRec: A novel graph-based approach for fine-grained Python code recommendation by Zong, Xing, Zheng, Shang, Zou, Haitao, Yu, Hualong, Gao, Shang

“… In this study, a graph-based Python recommendation approach (GraphPyRec) is proposed by converting source code into a graph representation that captures both semantic and dynamic information…”
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Facilitating the Calculation of the Efficient Score Using Symbolic Computing by B. Sibley, Alexander, Li, Zhiguo, Jiang, Yu, Li, Yi-Ju, Chan, Cliburn, Allen, Andrew, Owzar, Kouros

“… In the analysis of data from high-throughput genomic assays, inference on the basis of the score usually enjoys greater stability, considerably higher computational efficiency, and lends itself…”
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SBML2HYB: a Python interface for SBML compatible hybrid modeling by Pinto, José, Costa, Rafael S, Alexandre, Leonardo, Ramos, João, Oliveira, Rui

“…Abstract Summary Here, we present sbml2hyb, an easy-to-use standalone Python tool that facilitates the conversion of existing mechanistic models of biological systems in Systems Biology Markup Language (SBML…”
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Determination of an inflection point for a dosimetric analysis of unflattened beam using the first principle of derivatives by python code programming by Shende, Ravindra, Gupta, Gourav, Macherla, Subash

“… (±) of the second derivative. The objective of the study is to determine IPs for dosimetric analysis of the FFF beam profile…”
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Terrain methods on spectral analysis for paleoclimate interpretations: A novel visualization technique using python by Sánchez-Morales, J., Pardo-Igúzquiza, E., Rodríguez-Tovar, F.J.

“…Spectral analysis techniques are valuable tools at the disposal of paleoclimate scientists in their research of cyclical phenomena potentially responsible for past climatic fluctuations…”
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A Comparative Analysis of Machine Learning Based Power Flow Study with Custom Made Open Source Python Codes by Ahmad, Bilal, Nduka, Onyema

“… Experimental simulations for IEEE 3-bus and IEEE 118-bus networks have been conducted using custom-developed, open-source Python codes and technical insights…”
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A Severity Assessment of Python Code Smells by Gupta, Aakanshi, Gandhi, Rashmi, Jatana, Nishtha, Jatain, Divya, Panda, Sandeep Kumar, Ramesh, Janjhyam Venkata Naga

“… This study investigates five code smells diffused in 20 Python software comprising 10550 classes and analyses its severity index using metric distribution at the class level…”
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SNPAAMapper-Python: A highly efficient genome-wide SNP variant analysis pipeline for Next-Generation Sequencing data by Li, Chang, Ma, Kevin, Xu, Nicole, Fu, Chenjian, He, Andrew, Liu, Xiaoming, Bai, Yongsheng

“… In this study, we updated SNPAAMapper, a variant annotation pipeline by converting perl codes to python for generating annotation output with an improved computational efficiency and updated…”
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A finite element based homogenization code in python: HomPy by Ozdilek, Emin Emre, Ozcakar, Egecan, Muhtaroglu, Nitel, Simsek, Ugur, Gulcan, Orhan, Sendur, Gullu Kiziltas

“… The aim of this educational paper is to present a Python version of the existing homogenization code and provide detailed diagrams of its key modules extending its ability to conduct analysis…”
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A Study of Large Language Models in Detecting Python Code Violations by Mohammed Salih, Hekar A., Sarhan, Qusay I.

“… This study investigates the effectiveness of large language models (LLMs) compared to traditional static code analysis tools in detecting Python coding violations…”
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Computing optimum solar tilt angles for photovoltaic applications through python code simulation by Sumair, Muhammad, Pasha, Riffat Asim, Aized, Tauseef, Aslam Bhutta, Muhammad Mahmood, Tehreem, Layba, Shoaib, Muhammad

“… for any location in country, this study was conducted. Python code was developed for the optimization purpose of daily, monthly, seasonally, biannually and annual solar tilt angle…”
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Robust distributed precision matrix estimation for high-dimensional data by Ye, Yangqing, Yu, Yang, Ma, Xiaoyan, Liang, Wanfeng

“… Simulation studies and real data analysis demonstrate the superiority of the proposed method. The complete Python code supporting this study can be downloaded from https://github.com/littletesla/RDPM …”
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LiPydomics: A Python Package for Comprehensive Prediction of Lipid Collision Cross Sections and Retention Times and Analysis of Ion Mobility-Mass Spectrometry-Based Lipidomics Data by Ross, Dylan H, Cho, Jang Ho, Zhang, Rutan, Hines, Kelly M, Xu, Libin

“… Existing solutions for these data analysis challenges (i.e., multivariate statistics and lipid identification…”
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Evaluating test quality of Python libraries for IoT applications at the network edge by Chen, Zhifei, Jia, Chiheng, Chen, Lin

“… Due to the difficulty of static program analysis on dynamic languages, the quality of test code in Python libraries for IoT development faces a serious threat, which in turn affects the performance of IoT applications…”
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